



import argparse
import json
from pathlib import Path

import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image

from transformers import (
    SwiftFormerConfig,
    SwiftFormerForImageClassification,
    ViTImageProcessor,
)
from transformers.utils import logging


logging.set_verbosity_info()
__UpperCAmelCase			  =			logging.get_logger(__name__)

__UpperCAmelCase			  =			torch.device('''cpu''')
def 						UpperCamelCase      (  )      ->	Tuple:
   UpperCamelCase       :    List[str]		      =      'http://images.cocodataset.org/val2017/000000039769.jpg'
   UpperCamelCase       :    Tuple		      =      Image.open(requests.get(snake_case__			,	stream=snake_case__      ).raw      )
   return im
def 						UpperCamelCase      (  snake_case__			:       str      )      ->	int:
   if swiftformer_name == "swiftformer_xs":
      return torch.tensor([-2.1_703E00, 2.1_107E00, -2.0_811E00, 8.8_685E-01, 2.4_360E-01]      )

   elif swiftformer_name == "swiftformer_s":
      return torch.tensor([3.9_636E-01, 2.3_478E-01, -1.6_963E00, -1.7_381E00, -8.6_337E-01]      )

   elif swiftformer_name == "swiftformer_l1":
      return torch.tensor([-4.2_768E-01, -4.7_429E-01, -1.0_897E00, -1.0_248E00, 3.5_523E-02]      )

   elif swiftformer_name == "swiftformer_l3":
      return torch.tensor([-2.5_330E-01, 2.4_211E-01, -6.0_185E-01, -8.2_789E-01, -6.0_446E-02]      )
def 						UpperCamelCase      (  snake_case__			:       List[Any]			,	snake_case__			:       Optional[int]			,	snake_case__			:       List[Any]      )      ->	str:
   UpperCamelCase       :    Optional[int]		      =      dct.pop(snake_case__      )
   UpperCamelCase       :    int		      =      val
def 						UpperCamelCase      (  snake_case__			:       Optional[int]      )      ->	Optional[Any]:
   UpperCamelCase       :    List[str]		      =      []
   for k in state_dict.keys():
      UpperCamelCase       :    Optional[Any]		      =      k
      if ".pwconv" in k:
         UpperCamelCase       :    Dict		      =      k_new.replace('.pwconv'			,	'.point_wise_conv'      )
      if ".dwconv" in k:
         UpperCamelCase       :    Optional[Any]		      =      k_new.replace('.dwconv'			,	'.depth_wise_conv'      )
      if ".Proj." in k:
         UpperCamelCase       :    Optional[Any]		      =      k_new.replace('.Proj.'			,	'.proj.'      )
      if "patch_embed" in k_new:
         UpperCamelCase       :    Optional[Any]		      =      k_new.replace('patch_embed'			,	'swiftformer.patch_embed.patch_embedding'      )
      if "network" in k_new:
         UpperCamelCase       :    Dict		      =      k_new.split('.'      )
         if ls[2].isdigit():
            UpperCamelCase       :    Union[str, Any]		      =      'swiftformer.encoder.network.' + ls[1] + '.blocks.' + ls[2] + '.' + '.'.join(ls[3:]      )
         else:
            UpperCamelCase       :    int		      =      k_new.replace('network'			,	'swiftformer.encoder.network'      )
      rename_keys.append((k, k_new)      )
   return rename_keys
@torch.no_grad()
def 						UpperCamelCase      (  snake_case__			:       List[Any]			,	snake_case__			:       List[Any]			,	snake_case__			:       str      )      ->	List[Any]:
   UpperCamelCase       :    Dict		      =      SwiftFormerConfig()

   # dataset (ImageNet-21k only or also fine-tuned on ImageNet 2012), patch_size and image_size
   UpperCamelCase       :    str		      =      1000
   UpperCamelCase       :    List[Any]		      =      'huggingface/label-files'
   UpperCamelCase       :    str		      =      'imagenet-1k-id2label.json'
   UpperCamelCase       :    List[Any]		      =      json.load(open(hf_hub_download(snake_case__			,	snake_case__			,	repo_type='dataset'      )			,	'r'      )      )
   UpperCamelCase       :    List[Any]		      =      {int(snake_case__      ): v for k, v in idalabel.items()}
   UpperCamelCase       :    List[Any]		      =      idalabel
   UpperCamelCase       :    Dict		      =      {v: k for k, v in idalabel.items()}

   # size of the architecture
   if swiftformer_name == "swiftformer_xs":
      UpperCamelCase       :    Any		      =      [3, 3, 6, 4]
      UpperCamelCase       :    Optional[Any]		      =      [48, 56, 112, 220]

   elif swiftformer_name == "swiftformer_s":
      UpperCamelCase       :    Optional[Any]		      =      [3, 3, 9, 6]
      UpperCamelCase       :    str		      =      [48, 64, 168, 224]

   elif swiftformer_name == "swiftformer_l1":
      UpperCamelCase       :    Optional[Any]		      =      [4, 3, 10, 5]
      UpperCamelCase       :    Union[str, Any]		      =      [48, 96, 192, 384]

   elif swiftformer_name == "swiftformer_l3":
      UpperCamelCase       :    List[Any]		      =      [4, 4, 12, 6]
      UpperCamelCase       :    List[str]		      =      [64, 128, 320, 512]

   # load state_dict of original model, remove and rename some keys
   if original_ckpt:
      if original_ckpt.startswith('https'      ):
         UpperCamelCase       :    Any		      =      torch.hub.load_state_dict_from_url(snake_case__			,	map_location='cpu'			,	check_hash=snake_case__      )
      else:
         UpperCamelCase       :    Optional[Any]		      =      torch.load(snake_case__			,	map_location='cpu'      )
   UpperCamelCase       :    int		      =      checkpoint

   UpperCamelCase       :    str		      =      create_rename_keys(snake_case__      )
   for rename_key_src, rename_key_dest in rename_keys:
      rename_key(snake_case__			,	snake_case__			,	snake_case__      )

   # load HuggingFace model
   UpperCamelCase       :    str		      =      SwiftFormerForImageClassification(snake_case__      ).eval()
   hf_model.load_state_dict(snake_case__      )

   # prepare test inputs
   UpperCamelCase       :    Union[str, Any]		      =      prepare_img()
   UpperCamelCase       :    Optional[int]		      =      ViTImageProcessor.from_pretrained('preprocessor_config'      )
   UpperCamelCase       :    int		      =      processor(images=snake_case__			,	return_tensors='pt'      )

   # compare outputs from both models
   UpperCamelCase       :    Tuple		      =      get_expected_output(snake_case__      )
   UpperCamelCase       :    Optional[Any]		      =      hf_model(inputs['pixel_values']      ).logits

   assert hf_logits.shape == torch.Size([1, 1000]      )
   assert torch.allclose(hf_logits[0, 0:5]			,	snake_case__			,	atol=1E-3      )

   Path(snake_case__      ).mkdir(exist_ok=snake_case__      )
   print(F"""Saving model {swiftformer_name} to {pytorch_dump_folder_path}"""      )
   hf_model.save_pretrained(snake_case__      )


if __name__ == "__main__":
    __UpperCAmelCase			  =			argparse.ArgumentParser()
    # Required parameters
    parser.add_argument(
        '''--swiftformer_name''',
        default='''swiftformer_xs''',
        choices=['''swiftformer_xs''', '''swiftformer_s''', '''swiftformer_l1''', '''swiftformer_l3'''],
        type=str,
        help='''Name of the SwiftFormer model you\'d like to convert.''',
    )
    parser.add_argument(
        '''--pytorch_dump_folder_path''',
        default='''./converted_outputs/''',
        type=str,
        help='''Path to the output PyTorch model directory.''',
    )
    parser.add_argument('''--original_ckpt''', default=None, type=str, help='''Path to the original model checkpoint.''')

    __UpperCAmelCase			  =			parser.parse_args()
    convert_swiftformer_checkpoint(args.swiftformer_name, args.pytorch_dump_folder_path, args.original_ckpt)




from typing import Any




class   _UpperCamelCase :


			"""simple docstring"""






			def __init__(  self ,  lowerCAmelCase__		)	->   int:

							'''simple docstring'''


							__lowercase					     =				data
							__lowercase					     =				None





			def __repr__(  self		)	->   str:

							'''simple docstring'''


							return F"Node({self.data})"




class   _UpperCamelCase :


			"""simple docstring"""






			def __init__(  self		)	->   Optional[Any]:

							'''simple docstring'''


							__lowercase					     =				None





			def __iter__(  self		)	->   Any:

							'''simple docstring'''


							__lowercase					     =				self.head
							while node:
											yield node.data
											__lowercase					     =				node.next





			def __len__(  self		)	->   int:

							'''simple docstring'''


							return sum(1 for _ in self		)





			def __repr__(  self		)	->   str:

							'''simple docstring'''


							return "->".join([str(lowerCAmelCase__		) for item in self]		)





			def __getitem__(  self ,  lowerCAmelCase__		)	->   Any:

							'''simple docstring'''


							if not 0 <= index < len(self		):
											raise ValueError('''list index out of range.'''		)
							for i, node in enumerate(self		):
											if i == index:
															return node
							return None





			def __setitem__(  self ,  lowerCAmelCase__ ,  lowerCAmelCase__		)	->   None:

							'''simple docstring'''


							if not 0 <= index < len(self		):
											raise ValueError('''list index out of range.'''		)
							__lowercase					     =				self.head
							for _ in range(lowerCAmelCase__		):
											__lowercase					     =				current.next
							__lowercase					     =				data





			def 			_SCREAMING_SNAKE_CASE     (  self ,  lowerCAmelCase__		)	->   None:

							'''simple docstring'''


							self.insert_nth(len(self		) ,  lowerCAmelCase__		)





			def 			_SCREAMING_SNAKE_CASE     (  self ,  lowerCAmelCase__		)	->   None:

							'''simple docstring'''


							self.insert_nth(0 ,  lowerCAmelCase__		)





			def 			_SCREAMING_SNAKE_CASE     (  self ,  lowerCAmelCase__ ,  lowerCAmelCase__		)	->   None:

							'''simple docstring'''


							if not 0 <= index <= len(self		):
											raise IndexError('''list index out of range'''		)
							__lowercase					     =				Node(lowerCAmelCase__		)
							if self.head is None:
											__lowercase					     =				new_node
							elif index == 0:
											__lowercase					     =				self.head  # link new_node to head
											__lowercase					     =				new_node
							else:
											__lowercase					     =				self.head
											for _ in range(index - 1		):
															__lowercase					     =				temp.next
											__lowercase					     =				temp.next
											__lowercase					     =				new_node





			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   None:  # print every node data

							'''simple docstring'''


							print(self		)





			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   Any:

							'''simple docstring'''


							return self.delete_nth(0		)





			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   Any:  # delete from tail

							'''simple docstring'''


							return self.delete_nth(len(self		) - 1		)





			def 			_SCREAMING_SNAKE_CASE     (  self ,  lowerCAmelCase__ = 0		)	->   Any:

							'''simple docstring'''


							if not 0 <= index <= len(self		) - 1:  # test if index is valid
											raise IndexError('''List index out of range.'''		)
							__lowercase					     =				self.head  # default first node
							if index == 0:
											__lowercase					     =				self.head.next
							else:
											__lowercase					     =				self.head
											for _ in range(index - 1		):
															__lowercase					     =				temp.next
											__lowercase					     =				temp.next
											__lowercase					     =				temp.next.next
							return delete_node.data





			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   bool:

							'''simple docstring'''


							return self.head is None





			def 			_SCREAMING_SNAKE_CASE     (  self		)	->   None:

							'''simple docstring'''


							__lowercase					     =				None
							__lowercase					     =				self.head

							while current:
											# Store the current node's next node.
											__lowercase					     =				current.next
											# Make the current node's next point backwards
											__lowercase					     =				prev
											# Make the previous node be the current node
											__lowercase					     =				current
											# Make the current node the next node (to progress iteration)
											__lowercase					     =				next_node
							# Return prev in order to put the head at the end
							__lowercase					     =				prev





def 							UpperCAmelCase		(       ):







				"""simple docstring"""



				__lowercase					     =				LinkedList()
				assert linked_list.is_empty() is True
				assert str(lowercase				) == ""

				try:
								linked_list.delete_head()
								raise AssertionError  # This should not happen.
				except IndexError:
								assert True  # This should happen.

				try:
								linked_list.delete_tail()
								raise AssertionError  # This should not happen.
				except IndexError:
								assert True  # This should happen.

				for i in range(10				):
								assert len(lowercase				) == i
								linked_list.insert_nth(lowercase				,     i + 1				)
				assert str(lowercase				) == "->".join(str(lowercase				) for i in range(1				,     11				)				)

				linked_list.insert_head(0				)
				linked_list.insert_tail(11				)
				assert str(lowercase				) == "->".join(str(lowercase				) for i in range(0				,     12				)				)

				assert linked_list.delete_head() == 0
				assert linked_list.delete_nth(9				) == 10
				assert linked_list.delete_tail() == 11
				assert len(lowercase				) == 9
				assert str(lowercase				) == "->".join(str(lowercase				) for i in range(1				,     10				)				)

				assert all(linked_list[i] == i + 1 for i in range(0				,     9				)				) is True

				for i in range(0				,     9				):
								__lowercase					     =				-i
				assert all(linked_list[i] == -i for i in range(0				,     9				)				) is True

				linked_list.reverse()
				assert str(lowercase				) == "->".join(str(lowercase				) for i in range(-8				,     1				)				)





def 							UpperCAmelCase		(       ):







				"""simple docstring"""



				__lowercase					     =				[
				    -9,
				    100,
				    Node(77345112				),
				    '''dlrow olleH''',
				    7,
				    5555,
				    0,
				    -192.55555,
				    '''Hello, world!''',
				    77.9,
				    Node(10				),
				    None,
				    None,
				    12.20,
				]
				__lowercase					     =				LinkedList()

				for i in test_input:
								linked_list.insert_tail(lowercase				)

				# Check if it's empty or not
				assert linked_list.is_empty() is False
				assert (
				    str(lowercase				) == "-9->100->Node(77345112)->dlrow olleH->7->5555->0->"
				    "-192.55555->Hello, world!->77.9->Node(10)->None->None->12.2"
				)

				# Delete the head
				__lowercase					     =				linked_list.delete_head()
				assert result == -9
				assert (
				    str(lowercase				) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
				    "Hello, world!->77.9->Node(10)->None->None->12.2"
				)

				# Delete the tail
				__lowercase					     =				linked_list.delete_tail()
				assert result == 12.2
				assert (
				    str(lowercase				) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
				    "Hello, world!->77.9->Node(10)->None->None"
				)

				# Delete a node in specific location in linked list
				__lowercase					     =				linked_list.delete_nth(10				)
				assert result is None
				assert (
				    str(lowercase				) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
				    "Hello, world!->77.9->Node(10)->None"
				)

				# Add a Node instance to its head
				linked_list.insert_head(Node('''Hello again, world!'''				)				)
				assert (
				    str(lowercase				)
				    == "Node(Hello again, world!)->100->Node(77345112)->dlrow olleH->"
				    "7->5555->0->-192.55555->Hello, world!->77.9->Node(10)->None"
				)

				# Add None to its tail
				linked_list.insert_tail(lowercase				)
				assert (
				    str(lowercase				)
				    == "Node(Hello again, world!)->100->Node(77345112)->dlrow olleH->"
				    "7->5555->0->-192.55555->Hello, world!->77.9->Node(10)->None->None"
				)

				# Reverse the linked list
				linked_list.reverse()
				assert (
				    str(lowercase				)
				    == "None->None->Node(10)->77.9->Hello, world!->-192.55555->0->5555->"
				    "7->dlrow olleH->Node(77345112)->100->Node(Hello again, world!)"
				)





def 							UpperCAmelCase		(       ):







				"""simple docstring"""



				from doctest import testmod

				testmod()

				__lowercase					     =				LinkedList()
				linked_list.insert_head(input('''Inserting 1st at head '''				).strip()				)
				linked_list.insert_head(input('''Inserting 2nd at head '''				).strip()				)
				print('''\nPrint list:'''				)
				linked_list.print_list()
				linked_list.insert_tail(input('''\nInserting 1st at tail '''				).strip()				)
				linked_list.insert_tail(input('''Inserting 2nd at tail '''				).strip()				)
				print('''\nPrint list:'''				)
				linked_list.print_list()
				print('''\nDelete head'''				)
				linked_list.delete_head()
				print('''Delete tail'''				)
				linked_list.delete_tail()
				print('''\nPrint list:'''				)
				linked_list.print_list()
				print('''\nReverse linked list'''				)
				linked_list.reverse()
				print('''\nPrint list:'''				)
				linked_list.print_list()
				print('''\nString representation of linked list:'''				)
				print(lowercase				)
				print('''\nReading/changing Node data using indexing:'''				)
				print(F"Element at Position 1: {linked_list[1]}"				)
				__lowercase					     =				input('''Enter New Value: '''				).strip()
				print('''New list:'''				)
				print(lowercase				)
				print(F"length of linked_list is : {len(lowercase				)}"				)


if __name__ == "__main__":
		main()